ad
Summary:
Transparent, calculator-style first and second-order derivatives.
URL: http://pypi.python.org/pypi/ad
Developers:
- Abraham Lee
| Mode: |
Reverse |
| Method: |
Operator overloading |
| Supported Language: |
Python |
Features:
- Transparent calculations with little or no modification to existing code
- Nearly full support for standard math module functions
- Basic out-of-the-box NumPy support without any code changes (due to generic object operations, though some functions will crash)
Supported Platforms:
- Windows
- Unix/Linux
- Mac
- Application Server
Licensing: open source
Entries in our publication database that actually use ad in the numerical experiments: 403
The following diagram shows these entries versus the year of the publication.
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| '81 | '91 | '92 | '93 | '94 | '96 | '97 | '98 | '99 | '00 | '01 | '02 | '03 | '04 | '05 | '06 | '07 | '08 | '09 | '10 | '11 | '12 | '13 | '14 | '15 | '16 | '17 | '18 | '19 | '20 | '21 | '22 | '23 | '24 | ||||
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Related Research Groups:
- Argonne National Laboratory, USA
- University of Waterloo, Canada
- University of Paderborn, Germany
- Rice University, USA
- Friedrich Schiller University Jena, Germany
- Technische Universität Darmstadt, Germany
- INRIA Sophia Antipolis, France
- Humboldt University, Berlin, Germany
- RWTH Aachen University (STCE), Germany
- vivlabs LLC, USA
- Cranfield University - Centre for Simulation and Analytics, UK